Systems and methods for serial staining and imaging

ABSTRACT

The present invention relates to systems and methods for sequential operation of staining, imaging and sectioning of tissue samples by a processing system. After each layer of the sample is removed by the sectioning system, the system automatically stains the exposed surface of a sample to a depth to enable imaging of the remaining tissue. The system then repeats the sectioning, staining and imaging steps in sequence to image the sample.

RELATED APPLICATIONS

This application is a continuation of U.S. Pat. Application No.17/035,040, filed Sep. 28, 2020, which is a continuation of U.S. Pat.Application No. 15/556,862, filed Sep. 8, 2017, now U.S. Patent No.10,788,403, which is a national stage filing under 35 U.S.C. § 371 ofInternational Application No. PCT/US2016/022106, filed Mar. 11, 2016,which claims priority to United States Provisional Patent ApplicationNo. 62/131,492, filed Mar. 11, 2015. The entire contents of each of theaforementioned applications is incorporated herein by reference.

BACKGROUND OF THE INVENTION

A major challenge in biomedical science today is to obtain informationabout how tissues and whole organs function. While advances in genomicsand proteomics have led to fundamental discoveries about the basicworking of DNA, protein and cell biology, there has been limited successin turning these discoveries into effective drugs or therapeutics. Aleading reason behind this failure is that DNA, protein and cells oftenfunction very differently in-vitro than they do in the complex 3Denvironment of tissue and whole organisms. As such, it has often beennecessary to follow these in vitro studies with animal andhistopathological analyses.

Unfortunately, contemporary histological practices are ill-suited toimage and stain whole organs and 3D tissues at the microscopic levelwith biochemical specificity, particularly in a high-throughput,automated manner. First, traditional optical microscopy techniques havelimited ability to image deeply into the optically opaque environment of3D tissues and are normally limited to a depth of a few tens of microns.Second, even with appropriate imaging methods, there is still thefundamental difficulty of getting staining reagents to penetrate deeplyand evenly into tissues, particularly throughout whole, wild-typeorgans. Diffusion, due to its random walk nature, is a poor transportmechanism to distribute biochemical labels over large tissue volumes,even for small molecular weight labels. For larger labels such asantibodies, the problem is made even worse by steric constraints thatrestrict the movement of the antibody into tissues. Also, problems withnonspecific interactions and uneven distribution of labels are magnifiedwhen staining large tissue volumes, and these can conceal and confoundthe underlying biochemical signatures.

Serial section analysis is the traditional approach to label and imagethick tissues. In serial section analysis, a thick tissue or organ ismechanically sectioned with a microtome or other device into thin slicesranging in thickness from tens of nanometers to hundreds of microns.These sections are then mounted onto slides, stained with dyes ormarkers of interest, and then transferred to a microscope or slidescanner where they are individually imaged. These resulting images arethen successively aligned to form a z-stack. Unfortunately this is acostly and massively labor intensive procedure. Moreover, since thesections from the tissue block are imaged after they have been removedfrom the tissue, irreducible artifacts introduced from the sectioningprocess are virtually impossible to correct post hoc. As such, theserial section analysis requires days to weeks of effort from a skilledhistologist and the resulting datasets are often of poor quality.

Other methods are being developed to address whole organ imaging includetissue clearing methods that make tissues more optically transparent.These methods make it possible to image more deeply into tissues andemploy optical methods that were previously restricted for use insmaller samples. However, these methods have several drawbacks. They areoften not robust, have high failure rates, and in many cases requireextensive tissue preparations that take weeks to months and so are notamenable to high throughput environments. Further, they often distortthe morphology and the underlying biochemical signatures that are beinginvestigated in the first place. Most importantly, however, theseclearing techniques do little to address the staining problem as it isstill not possible to evenly distribute dyes and other markersthroughout the tissue when it is cleared. Other related techniquesattempt to introduce labels into the tissue by using the vasculature ofthe animal during the perfusion fixation process. However, thesetechniques suffer from uneven distribution throughout the organespecially in the case of antibodies.

Several blockface imaging methods have attempted to address the problemof labeling and imaging whole organs. However, this technique hasseveral drawbacks. First, unlike the present invention, only the surfaceof the tissue is imaged and not the interior of the tissue. This is asignificant disadvantage as the surface of the tissue of the tissueblock is damaged by the sectioning process that is required to exposethe tissue surface. Thus, a continuing need exists for improvements inhigh throughput imaging of tissue samples and organs.

Prior devices allow for successive thin sections to be cut from an agarembedded biological sample and where the sections can be sorted into acollection chamber after being cut from the block. The device allows thesample to be incubated with a staining dye for imaging. However, themethod is impractical as the time for penetration of the dye into thetissue sample thus is prohibitively long, being on the order of days toweeks to stain and image a single sample such as a mouse brain, limitingits widespread use, especially in applications where tens to hundreds ofsamples must be imaged in single study. Beyond the impractical timeframe for imaging a sample, this will also occupy valuable time on theinstrument while the sample is incubating. Thus, continuing improvementsare needed to increase imaging speed of large numbers of tissue samplesutilizing staining techniques.

SUMMARY

Preferred embodiments of the present invention provide systems andmethods for ex vivo staining and imaging of thick tissues and wholeorgans that can be termed serial blockface staining (SBS), for example.Preferred systems and methods employ automated cycles of staining, 3Dsurface and subsurface imaging and sectioning which repeats throughoutthe entire organ or a specific region of interest in a tissue sample. Astaining system, a sectioning system and one or more imaging systems canbe integrated into a high throughput sample processing system thatgenerates three dimensional datasets. As each layer of the sample isimaged and sectioned, a stain or label is diffused into each sequentialexposed surface. Stains or labels are selected and delivered directlyonto the exposed sample surface immediately upon sectioning underconditions operative to increase the rate of diffusion such that thenext layer can be promptly imaged and sectioned. The sample can beprocessed during diffusion with methods and devices that increase therate of diffusion.

A preferred embodiment includes a sample holder that supports aplurality of samples such that the samples can be stained, imaged andsectioned in rapid sequence. While a first sample is being imaged, asecond sample can be sectioned, while third and fourth samples are beingstained, for example. Thus, each sample can be positioned at imaging,sectioning or staining stations of the system during the processingsequence. Imaging processes preferably include multiphoton microscopy,which can be used with additional imaging modalities.

Of critical importance is the coordinated control of the sampleprocessing and imaging sequence. A control system is utilized to controlsample processing parameters. The processing parameters must be properlycoordinated for the type of sample, the stain being utilized, thetargeted cellular structures to be imaged. The different stains andtissue types can have different diffusion rates and time windows inwhich to optimize the quality of the images that are produced. Differenttypes of diffusion devices can be used separately or in combination toachieve the desired results. The diffusion devices are operative toincrease the rate of diffusion beyond that encountered by gravity or thesteric properties of the tissue and stain combination. Diffusion devicescan be operative to change a property or characteristic of the materialduring diffusion to increase the rate. Such properties can include thetemperature, stirring or agitation, such as by an acoustic signal havinga selectable amplitude or frequency, the application or electric and/ormagnetic fields, such as electrophoresis. Detergents or reagents canalso be used to increase diffusion rate. Thus diffusion devices caninclude a reagent delivery device that is also operated by the controlsystem to operate in conjunction with the stain delivery system andother diffusion devices. Control signals can be delivered using acontrol circuit that is electrically connected to all of the systemcomponents, including the sample holder to position the sample, thestain and reagent delivery system, the diffusion device components, thesectioning tool, as well as the different imaging systems that can beselected to image the sample at selected times. The control system canalso be integrated into the image and data processing systems used tocollect and process sample data. Software modules can be programmedalong with a graphical user interface to select scan parameters for aparticular sample or class of samples. Pre-sets of scan parameters thatare correlated for different categories of imaging operations can alsobe utilized. Thus, a user can select a particular pre-programmed set ofcorrelated sample processing and scan parameters for a particular sampleclass to provide fully automated processing of the samples. Timing ofthe steps of the processing sequence can be critical depending on theparticular sample and processing conditions.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 depicts a sequence of steps in accordance with a preferredembodiment of the invention;

FIGS. 2A-2D illustrate diffusion processes pertaining to operation ofpreferred embodiments of the invention;

FIGS. 3A and 3B illustrate serial block face staining in accordance withthe invention;

FIG. 4 illustrates a preferred embodiment for a workflow includingtissue preparation, tissue embedding, sample mounting, tissue staining,image acquisition, tissue sectioning, and image processing in accordancewith the invention;

FIG. 5 illustrates a plurality of samples in a liquid medium forlabeling and imaging;

FIGS. 6A-6C illustrate options for increasing diffusion into samples inaccordance with the invention;

FIGS. 7A and 7B illustrate systems for increasing diffusion rates insamples;

FIG. 8 illustrates an electrophoresis system for increasing diffusionrates in accordance with a preferred embodiment;

FIG. 9 illustrates a system and method of sonic agitation of the sampleto increase diffusion rates;

FIG. 10 illustrates a system for processing a plurality of samples fordiffusion and imaging.

DETAILED DESCRIPTION

The sample is placed in a solution container located on a stage. Thesample can be embedded in a support matrix such as agarose to facilitatemechanical sectioning. In the container, the sample is incubated with astaining reagent for a pre-determined incubation time such that theuppermost portion of the tissue exposed to the staining solution isstained to a desired depth. Following incubation, the system acquiresimages of the stained tissue at a plurality of planes in the tissue. Theuppermost portion of the sample is then sectioned by a cutting devicesuch as a microtome, thus exposing a new tissue surface. Steps 2-4repeat throughout the entire organ such that the entire organ or tissueblock is imaged at set intervals throughout its extent.

Systems and methods for two-photon microscopy are described further inSo et al., for example in U.S. Pat. Nos. 7372985 and 7724937, which areincorporated herein by reference in their entirety. These describe analternative technique that is capable of successively imaging theuppermost portion of a tissue block by alternating mechanical andoptical sectioning. Previous methods have required that an opaquesubstance be introduced into the substance to block optical signals suchas fluorescence from the dyes or tissue within the tissue block. U.S.Pat. No. 7372985 employed imaging modalities such as two-photon orconfocal microscopy that avoid the problem of interference by onlyexciting a thin optical layer on the surface or within the layer.However, a more significant disadvantage is that dyes still must beintroduced into the thick tissue block before the imaging and sectioningprocess. Again, like with optical clearing techniques, it is either verydifficult or impossible to distribute dyes and other markers evenlythroughout the tissue. One attempt to address this problem is byemploying electrophoresis-assisted staining of materials to reduce theamount of time to stain a tissue and to evenly distribute the stainthroughout a thick tissue block. This method requires that the stainpossess an appropriate electric charge, which is not always feasible.Alternatively, in the case of antibodies, a charged secondary antibodycan be attached to the antibody of interest. However the primary -secondary antibody complex is very large and has difficulty traversingthe tissue due to steric constraints and can become trapped within thetissue and thus lead to spurious or nonspecific staining. Further, theprocess is slow requiring over a day to transport the stain anappreciable distance. The electric field itself can also distort thetissue due to the forces exerted on charged particles within the tissue.These problems are not easily overcome as it is often impossible toobtain a balance between an appropriate electric field strength toincrease the distance traveled by the charged dye and to maintain aforce small enough to not damage the tissue. Another difficulty ariseswhen attempting to stain a material with multiple stains as the stainswill often have differing or even opposite charges, thus limiting theability to multiplex the staining protocol.

Thus, prior methods have various drawbacks, being either laborintensive, inconsistent, time-consuming, or having fundamentaldifficulties in introducing labels deeply into tissues. Because of this,current 3D imaging techniques and technologies often rely on endogenousfluorescence or the use of transgenic animals to generate contrast. Theinvention described here will remove this barrier and allow researchersto stain whole organs with a wide range of reagents such as antibodiesand dyes that will open up new applications for whole organ, 3D imagingof animals.

Serial Two-Photon (STP) Tomography with blockface labeling utilizestwo-photon imaging and vibratome sectioning to image the whole organusing sequential cycles of imaging and sectioning, thus enabling imagingdeep into tissue. Serial Blockface IHC utilizes tissue stainingtechniques adopted from methodologies of free floating IHC andintegrates it into a STP tomography platform. There are severalcomplementary features between free-floating IHC and serial two-photontomography that allow ready integration. First, both are conducted insolution. Second, the specimen in both is typically embedded into aporous support matrix such as agar; and third, both employ sectioning.In the case of STP tomography, sectioning is used to expose a newsurface after the imaging step in order to allow imaging tens tohundreds of microns below the surface of the embedded tissue in asequential fashion as demonstrated in FIG. 1 . For free-floating IHC,the organ is typically sectioned into 30-50 µm slices which are placedin the staining buffer to allow rapid diffusion of staining reagentsfrom both sides of the section, hence the term free floating IHC. Instandard free-floating IHC, antibodies and staining reagents readilydiffuse into 50 µm thick sections.

Note that in free floating IHC, it is possible to stain 50 micron tissuesections but is much more difficult to get antibodies and other labelsto diffuse much beyond this into thicker tissues. There exists asubstantial concentration gradient from the surface to the interior ofthe tissue due to the long distance the molecules must travel and thetime to reach a concentration equilibrium. Diffusion, being a randomwalk process, does not transport molecules over long distances in areasonable amount of time as can be seen in FIGS. 2A-2D. In FIG. 2A, theaverage mean square distance of a particle undergoing a random walk withstep size L is illustrated. Since the average mean square diffusiondistance goes as the square root of the diffusion coefficient,increasing the diffusion coefficient only marginally improves thepenetration depth. In FIG. 2B, a whole mouse brain is placed in a DAPIsolution in order to stain cellular nuclei. After 24 hours, the brain issectioned and the exposed surface is imaged. Even after soaking thewhole brain for 24 hours in a DAPI solution, only about 300 micronsalong the edge of the brain was stained and essentially zero stainingoccurred in the interior. In other words, very little of the dye wasable to penetrate to the interior of the brain. In FIG. 2C, in contrast,a whole mount brain was sectioned in half and the exposed surface wasallowed to incubate in the same DAPI solution. After 20 minutes of enface DAPI staining, the entire coronal section was homogeneously stained50 microns into the tissue, and here was even staining of all the nucleiat 50 microns below the surface of the tissue. This illustrates a keypoint: while it is impractical to get molecules to diffuse deeply into athick tissue, it is possible to get molecules to diffuse quickly to ashallow depth. Mathematically, this is illustrated by comparing thecharacteristic diffusion time (t = I²/D) for an antibody at 50 µm and 5mm where / is the diffusion length, D the diffusion coefficient, and tthe time. Assuming a diffusion coefficient of 1*10^-10 cm²/s for anantibody within a tissue, the characteristic time to diffuse 5 mm(halfway across a mouse brain) is 480 days. In comparison, the time todiffuse 50 µm is 7 minutes. For small molecules such as DAPI, the timeis even shorter. More generally, FIG. 2D (taken from Crank, TheMathematics of Diffusion, 1975) plots relative concentration gradientsfor a slab of material of width 2L. Concentration distributions areshown at various times in the sheet -L < x < L with initialconcentration C₀ and surface concentration C₁. The numbers on the curvesare values of Dt/L². As we can see, increases in the diffusioncoefficient or length of time have only modest effects on thepenetration depth into the slab.

Preferred methods include those illustrated generally in FIG. 1 , whichillustrates a workflow for serial blockface staining including serialcycles of staining, imaging, and sectioning that can occur throughoutthe entire tissue. By repeating this series of steps, staining, imaging,and sectioning of an entire organ can be performed without any userintervention. A whole specimen is placed in a buffer bath filled with asolution 130 containing staining reagents 132. The specimen can beplaced in a support matrix to facilitate sectioning. The specimen isthen sectioned to expose the tissue 105, followed by a pre-determineddelay time before the next imaging and sectioning cycle. This will allowthe staining reagents 132 to diffuse to the desired imaging depth atwhich point the system will image and section again. In someembodiments, an objective lens 115 and piezoelectric element 110 can beused to image the tissue 105. After the tissue 105 is imaged, the samplecan be translated and undergo sectioning. In some embodiments, amotorized stage 125 can be used to translate the sample. The motorizedstage 125 can translate in one, two, or three directions. The motorizedstage 125 can bring the sample 105 to a sectioning element. In someembodiments, a microtome 120 can be used to section the tissue 105. Thesectioning element cuts a section 107 from the tissue 105. In someembodiments, the cut section 107 can be positioned in an orderly fashionon the motorized stage 125. The next exposed blockface surface of thetissue 105 can now undergo staining as described above. The cycle ofblockface staining, imaging and sectioning repeats throughout the entireorgan until completion.

For some samples, it may only be desirable to obtain images of regionsof the tissue sample at selected depths within each region of thesample. For example, short sequences of images may only be desired atdepths of 0.1, 0.2, 0.5, or 1 mm or any other distance within a wholeorgan. To reduce the total time that would be spent staining andsectioning the entire organ, various embodiments of the presentinvention allow selection of processing parameters to be executed by acontrol system that calibrate the timing sequence between staining,imaging, and removing (e.g., sectioning) steps to generate images ofregions of the sample at selected depths within each region of thesample. In some embodiments, the processing parameters are selected tocalibrate the relative operation of a staining unit, a sectioning unit,and an imaging unit.

Blockface IHC completely utilizes two well established methodologies:free floating IHC and serial two-photon tomography and other imagingmethods described herein. Unlike free-floating IHC in which we sectionthe organ and stain the sections, in blockface IHC we section the organbut stain the organ. More precisely, the organ is stained before it hasbeen sectioned from the organ and is also imaged before it is sectioned.The fact that labels can be made to readily diffuse tens of microns intothick tissue, taken together with the ability to image at tens ofmicrons below tissue surface using 3D imaging, and centimeters acrosstissues and organs with STP Tomography, allows a practical method forwhole organ ex vivo staining. Stated alternatively, by transforming theproblem of whole organ imaging and staining into a problem ofsequentially staining and imaging at a shallow depth, it becomespossible to quickly and evenly stain entire organs.

Demonstrated results from serial blockface staining are shown in FIGS.3A and 3B. Shown are representative images from serial blockface IHCstaining of a 1.5 mm coronal section (FIG. 3A) stained and imaged withanti-NeuN-alexafluor488 at 50 µm spacing and of small molecule stainingof a whole brain using DAPI (FIG. 3B). Fixed tissue was embedded in anagarose block and directly mounted into a water bath containing eitherantibody in phosphate buffer with 1% Triton x-100 or DAPI in phosphatebuffer. An incubation time was programmed into the STP system to allowtissue staining prior to the next cycle of imaging and sectioning. ForFIG. 3B, staining and imaging occurred at 50 µm below the tissue surfaceat 50 µm intervals in consecutive automatic cycles across the entirebrain for a total of 300 coronal stained sections. Four representativeimages from a 1.5 mm section stained with NeuN (FIG. 3A), revealingspecific NeuN staining across the entire tissue, and four representativeimages from a whole mouse brain stained with DAPI (FIG. 3B) provide astrong proof-of-concept for the serial blockface staining approachproposed in this application. In preferred embodiments of thisinvention, the system is able to stain specimens at depths ranging fromzero microns (i.e., surface) to 200 microns from the cut surface in lessthan 60 minutes.

FIG. 4 illustrates a general workflow 400 for the SBS method and detailsthe different available techniques and modalities that can be integratedto allow an automated, sequential process of staining, imaging andsectioning whole organs. In accordance with various embodiments of thepresent invention, tissue preparation 402 can include perfusion fixationor post-fixation may involve fresh tissue or fresh-frozen tissue.Exemplary strategies for tissue embedding 404 can include, but are notlimited to, agarose, paraffin, and OCT embedding. Sample mounting 406for the tissue 105 can include the staining solution 130, a motorizedstage 125, and, optionally, a fluid (e.g. water) bath.

Tissue staining 408 can include elements and reagents such asantibodies, nanobodies or single-chain variable fragment antibodies(ScFv), dyes, aptamers, nucleic acid probes, and peptide probes. Forimage acquisition 410, imaging modalities can include multiphoton,confocal, optical coherence tomography, second harmonic generation,third harmonic generation, coherent anti-Stokes Raman, sweptconfocally-aligned planar excitation, SRS, spectral confocal reflectancemicroscopy, SCORE, label free photoacoustic microscopy, and Ramanconfocal. Tissue sectioning 412 can include techniques including, butnot limited to, vibrating blade, microtome 120, and or sectioning in acryostat. Image processing 414 of images of the tissue acquired by theimaging system can include tile stitching or image analysis. The controlsystem is operative to execute coded software instructions to performthe steps of the illustrated methods in accordance with specific timingrequirements for the given sample class and associated sample processingand imaging requirements as described herein.

A preferred embodiment of this application includes staining a tissuesample with hematoxylin and eosin (H&E) stain and using a nonlinearimaging modality such as third harmonic generation to image the tissuesample. This can be used with other imaging protocols as generallydescribed herein. The imaging parameters must be coordinated with thestain diffusion rate for optimized image results. The process iscalibrated so that imaging depth is correctly timed with the modeleddiffusion rate for a given class of samples. The timing sequencefollowing delivery of the stain onto the cleaved surface of the tissue,the diffusion rate controls, imaging station sequence and furthersectioning are coordinated by the control system operations.

In addition, more than one sample can be loaded into the water bath tofacilitate multiple-sample imaging as seen in FIG. 5 , which depicts awater bath in which six brains 105 a-f are embedded to enable sequentiallabeling and imaging. Imaging multiple tissues 105 a-f in parallel orsequentially provides several advantages. First, it can allow one tissueto be imaged while the other tissues undergo staining. This can increasethe overall system throughput. For instance, if the imaging portion ofthe process takes 2 minutes and the staining process takes 10 minutes,six tissues can be sequentially imaged. The first tissue 105 a is imagedand sectioned followed by the second tissue 105 b. In this way, eachtissue spends 10 minutes incubating in the staining solution while thesystem is imaging the other tissues in a round robin imaging strategy.In this way, while system latency is increased over imaging a singletissue with no staining, overall system throughput is maintained.

Several advantages of the approach include, first, this process combinesthe imaging and staining steps into a single, integrated process thatcan be performed on the same instrument. Serial section analysis,optical clearing with light sheet, and traditional blockface imaging aremulti-step processes that require that the sample be first stained andthen imaged in a second step on a separate device. This requires moremanual intervention leading to undesired variability of results due toinconsistency between separate users or variability of the stainingreagents from sample to sample. Second, the entire process is automatedand thus of potentially lower cost. The automation also lends itselfwell to high throughput environments where tens if not hundreds ofsamples need to be stained and imaged under identical conditions.

In compatibility with our current system requirements and in accordancewith standard staining techniques, an animal is perfused with 4% PFA andthe organ of interest is then dissected. Following additionalpost-fixation in 4% PFA, the organ is than placed in PBS in order toreplace PFA. The method is not limited to PFA-perfused animals and couldalso be applied on post fixed organ or fresh frozen tissue. Oncedissected, the organ is embedded in a supporting matrix such as agaroseand is then mounted onto a glass slide. Since imaging and sectioning ofwhole organs using STP is conducted in solution, the slide is placed ina water bath that is then mounted on a motorized stage. There is muchflexibility with the working solution in which the sample is placed andany solution that will not damage the tissue, staining reagents ormicroscope components can be used.

This approach is consistent with standard staining techniques for fixedtissue, enabling the use of a wide array of staining reagents. Theseinclude but are not limited to:

-   Antibodies-   Nanobodies and ScFv-   Dyes-   Aptamers-   Nucleic acid probes-   Fluorescent peptide probes-   Nanoparticles-   Quantum dots-   Photo-acoustic probes

A further embodiment uses a probe comprising gamma-PNA as miniprobes forfluorescent labeling. Further details regarding the characteristics anduse of such miniprobes are described in International Application No.PCT/US2012/064976, filed on Nov. 14, 2012 by Armitage et al., the entirecontents of this application being incorporated herein by reference.

In a preferred embodiment, reagents are diluted into the water bath andare incubated for the amount of time required for the molecule todiffuse to the imaging depth. Different molecules have differentdiffusion rates and permeability to the tissue and thus the time must beadjusted depending on the label. Note that while long incubation timeincreases overall imaging time, one or more diffusion devices may beemployed to increase the rate of diffusion beyond that which occurssolely by gravity or un-aided diffusion and, in turn, decrease theincubation time. Diffusion devices can be divided into categoriesincluding chemical factors and physical factors.

Diffusion devices that employ chemical factors can increase sectionquality and tissue permeability:

-   1. Detergents that are compatible with IHC-   2. Proteases for degradation of extracellular matrix

Diffusion devices that employ physical factors can increase tissuepermeability, diffusion rate and diffusion homogeneity:

-   1. Agitation-   2. Temperature-   3. Sonication-   4. Electrophoresis-   5. Microwave

Thus, preferred embodiments can employ diffusion devices includingautomated control systems and methods to actuate control of one or moreof the above characteristics. A computer system having one or more dataprocessors and memories can be programmed with software engines thatoperate all of the operating features of the processing system describedherein, including the sectioning, sample movement stages, staining andimaging devices.

FIG. 6A illustrates the diffusion rate of anti-NeuN-alexafluor488 intoembedded tissue by demonstrating the NeuN signal at 50 µm at severaltime points. NeuN signal is already visible at 30 minutes afterincubation. Many commercially available detergents are compatible withIHC, and many of these have shown to be able to increase the diffusionof antibodies and reagents into thick samples. Different types ofdetergents can be used depending on their compatibility with IHCstaining, mainly if they do not de-stabilize antibodies. For instance,Triton-X100 is one the most widely used detergents in IHC staining andhas shown to significantly increase the penetration of antibodies into50 micron tissue slices used in free floating IHC. When adding adetergent, detergent concentrations of at least 1x CMC concentration areadded to the staining solution and are present throughout the SBSsession to allow diffusion during incubation steps. In another preferredembodiment, depending on reagent diffusion and type of tissue,pre-treatment of tissue samples before imaging and staining may beconducted with detergents and/ or proteases in order to further improvestaining and sectioning. FIG. 6C provides an example of the impact thatdifferent detergents have on diffusion rate of antibodies and dyes byshowing the difference in staining when incubated with different typesof detergents. The amount of staining at a depth of 50 microns after 45minutes of incubation with a fluorescent Nissl stain is much greaterwhen detergent B is used versus detergent A. Similarly, for the antibodyanti-NeuN alexa488, the signal at a 50 micron depth after 45 minutes ofincubation was much stronger when detergent A was used versus detergentC.

Diffusion devices that include physical factors, such as agitation,heating, sonication and electrophoresis can be used alone or incombination with diffusion devices that include chemical factors tofurther increase diffusion rate. Agitation, routinely used in standardimmunostaining techniques, is known to increase rates of diffusion andhomogeneity. To demonstrate the effects of agitation on the diffusionrate, see FIG. 6B, where agitation of the sample while it is incubatedwith an antibody improves diffusion homogeneity as demonstrated by amore uniform NeuN signal across a coronal section compared tonon-agitated sample. In some embodiments, sample agitation can beperformed with a diffusion device such as a motorized stage 125 on whichthe sample is mounted. In some embodiments, the motorized state can alsoprovide X-Y movement of the stage in between cycles while the tissue 105is incubated. In some embodiments, circulating the staining solution 130through a diffusion device such as a pump 210 can provide agitationduring both imaging and incubation periods as shown in the water bathdesign of FIG. 7A. The staining solution 130 can be held in an innerwater bath 140 that itself is held in an outer water bath 145.Circulation of the staining solution is also possible by physicallystirring the solution using diffusion devices such as a stirrer or fan.In another embodiment, the sample can be transported to differentstations during the imaging and staining process, including a stationwhose purpose is to physically agitate the sample.

Heating also increases the diffusion rate and can be achieved bynon-direct heating of the water bath in which SBS takes place. FIG. 7Billustrates a non-direct approach to heating the staining solution; thesmaller SBS water bath 140 is placed inside a diffusion device includinga larger water bath 145 with a heating element 225. The heating element225 is connected to a controller 220 that is connected to a thermometer222 placed inside the smaller SBS water bath 140. This loop allows us toheat the larger outside water bath 145 according to the temperature ofthe smaller inner water bath 140 containing the staining solution 130and sample 105.

Electrophoresis provides directionality of diffusion and can speed upthe diffusion of charged staining reagents (FIG. 8 ). The embeddedtissue 105 can be placed in a diffusion device such as a custom-madeelectrophoresis chamber including an electrode 230 and ionic solution232. The electrophoresis chamber can be incorporated into the water bath140. Embedded tissue will undergo electrophoresis either duringincubation time or throughout the entire imaging run. Pulsedelectrophoresis can be applied to enable deeper diffusion across thetissue.

Sonication causes tissue disruption and by doing so provide means forincreased tissue permeability and improved penetration of the label intothe tissue (FIG. 9 ). Sonication can be applied on whole tissue prior toembedding and/or directly on embedded tissue 105 during SBS incubationtime. In some embodiments, a diffusion device such as an ultrasoundtransducer 240 can be placed in proximity to the staining solution 130to cause sonication of the tissue 105 during a staining operation.

When using fixed tissue for SBS, there may be a need for antigenretrieval to ensure antibody binding. In such cases where antigenretrieval is necessary, the use of a diffusion device such as ahistology microwave can be applied. Histology microwaves enablecontrolled, localized heating of fixed tissue and are commonly used forpathological analysis. Antigen retrieval using a microwave is a processwhich takes place in solution and is thus compatible with our SBSapproach. A microwave can be integrated into the system and will beapplied directly on the tissue during incubation time.

Depending on the type of sectioning and the type of tissue that isimaged, pre-treatment with diffusion devices such as tissue specificproteases may improve the quality of the sections to enable betterimaging. Proteases may also degrade extracellular matrix and connectivetissue to increase diffusion rate of staining reagents. When usingantibodies and other protein-based staining reagents, tissue may bepre-treated and washed prior to conducting SBS to avoid degradation ofthe antibodies. In cases where dyes and other non-protein reagents areused, addition of proteases to the staining solution as diffusiondevices can be selected. The automated control system for the diffusiondevices can perform selection of one or more diffusion rate adjustmentmodes (e.g., temperature, vibration, electrophoresis, etc.) and applyselectable timing and diffusion device operating parameters.

FIG. 10 presents a schematic of a serial blockface staining system. Inone embodiment, the system 1000 includes a rotating stage 1025 withmultiple samples 105 a, 105 b loaded simultaneously and comprises astaining unit 1010, an imaging unit 1020 and a sectioning unit 1030. Insome embodiments, a robotic arm 1005 can transfer individual chamberswhich contain samples to various stations. As such, samples loaded onthe stage 1025 will be mobile and can transfer between each of the unitsin a programmatic fashion. In accordance with various embodiments, acontrol workstation 1050 can configure or control the staining unit1010, imaging unit 1020, sectioning unit 1030, or robotic arm 1005.

In one embodiment, the staining unit will have controlled solutiondispensers 1011 to optimize and allow a variety of staining solutions130 a, 130 b, 130 c. This can also allow for different stainingsolutions to be used at different points in the imaging and stainingsession. In some embodiments, control of the solution dispensers can beperformed using a valve manifold 1012 or series of valves. While thetissue 105 is incubating in the staining solution 130, one or morediffusion devices can be applied to increase the diffusion rate.Following staining, each sample can individually transfer to an imagingunit which can include several imaging modalities 1022 a, 1022 b, 1022c, 1022 d. Although imaging modalities of multi-photon 1022 a, OCT 1022b, multiple harmonic generation 1022 c, and CARS 1022 d are shown inFIG. 10 , any imaging modality previously described herein or known inthe art may be used in conjunction with the imaging unit 1020 as taughtherein. The imaging unit 1020 can include a display 1025 in someembodiments to show images as they are acquired.

Following image acquisition, the sample 105 can then move to asectioning unit 1030 to expose the next tissue surface to be stained inthe staining unit 1010. The sectioning can be performed by a sectioningelement 120 such as a microtome. This streamlined process enablesefficient serial blockface staining of multiple samples in a way thatenables the imaging of one sample while the rest are incubated withstaining solution 130. The entire process can be automated and put underthe control of a computer workstation, and staining and imagingparameters can be adjusted on a per sample and instar-sample basis. Thatis, for instance, particular regions of, for example, mouse brain can bestained with a reagent A which is of interest in the forebrain, andreagent B, which is of interest in the cerebellum. Further, the final orinterim results can be transferred by the control workstation 1050 tohard disk storage 1052 or transmitted via server to remote locationsusing cloud computing resources 1054.

The following claims should not be read as limited to the order orelements as set forth unless expressly stated. The embodiments of theinvention described herein that are within the spirit and scope of thefollowing claims and equivalents thereof are claimed as the invention.

What is claimed is:
 1. A system for imaging a tissue sample comprising:a sectioning system for sectioning a tissue sample in a fluid bath intoa plurality of tissue sections; a staining system operative to stain anexposed region of the tissue sample in sequence with a sectioningsequence performed by the sectioning system; and a control system thatcontrols sequential staining and sectioning of the tissue sample toprovide a plurality of stained tissue sections.
 2. The system of claim1, further comprising an imaging system that is configured to use one ormore of multiphoton, confocal, optical coherence tomography, secondharmonic generation, third harmonic generation, coherent anti-StokesRaman, photoacoustic, or Raman imaging techniques.
 3. The system ofclaim 2, wherein the imaging system images the exposed region of thetissue sample and/or a subsurface region of the tissue sample.
 4. Thesystem of claim 1, wherein the sectioning system is configured tosequentially cut sections from the tissue sample to sequentially exposedeeper regions of the tissue sample.
 5. The system of claim 4, furthercomprising an imaging system that images the sequentially cut sectionsfrom the tissue sample.
 6. The system of claim 4, wherein thesequentially cut sections have a thickness of about 50 microns or less.7. The system of claim 2, wherein the control system further comprises amemory to store images received from the imaging system.
 8. The systemof claim 7, wherein the control system is configured to generate athree-dimensional representation of the tissue sample using the imagesstored in the memory.
 9. The system of claim 1, wherein the stain isdelivered to the sample with a detergent.
 10. The system of claim 1,wherein the stain includes a protease.
 11. The system of claim 1,wherein the staining system includes a motorized stage to move thetissue sample, agitate the stain, or both.
 12. The system of claim 1,wherein the staining system includes at least one of a fluid pump, astirrer and a fan to provide agitation by circulating the stain in afluid bath containing the sample.
 13. (canceled)
 14. The system of claim1, wherein the staining system includes a heating element in contactwith the fluid bath, the fluid bath in thermal contact with the stain.15. The system of claim 1, wherein the staining system includes at leastone of a sonicator, an electrophoresis chamber and a microwave toretrieve antigens.
 16. (canceled)
 17. (canceled)
 18. The system of claim1, wherein the sectioning system includes a vibrating blade, amicrotome, or a cryostat.
 19. The system of claim 2, further comprisinga robotic device to move the tissue sample among the staining system,imaging system, and sectioning system.
 20. The system of claim 1 furthercomprising a diffusion device configured to increase a diffusion rate ofa stain into a tissue sample, the control system being connected to thediffusion device to control diffusion rate.
 21. (canceled)
 22. Thesystem of claim 1 wherein the control system is programmed with asoftware module to select one or more diffusion devices to control adiffusion rate of a stain into a sample.
 23. The system of claim 1wherein the system controls a steric property of the tissue sample. 24.The system of claim 1 wherein the control system has a memory thatstores sample processing parameters including stored sectioningparameters and stored imaging parameters for a plurality of imagingmodes of one or more imaging devices.
 25. The system of claim 24 whereinthe sample processing parameters control a selection of a stain to bedelivered to a sample surface and an amount of the stain to bedelivered.
 26. The system of claim 24 wherein the sample processingparameters include control parameters of a diffusion device includingselection of a diffusion rate adjustment mode and selected modeoperating parameters including duration of mode operation. 27.(canceled)
 28. The system of claim 1 further comprising a sample stagethat controls movement of a plurality of tissue samples to be processedand wherein the control system is programmed to independently controlprocessing parameters for a plurality of tissue sections.
 29. (canceled)30. The system of claim 28 wherein the sample stage is operative to movethe plurality of samples between one or more imaging stations, one ormore sectioning stations, one or more staining stations and one or morediffusion rate control stations.
 31. The system of claim 24, furthercomprising an imaging device, wherein the processing parameters arecalibrated so that the timing sequence between sequential staining,imaging, and sectioning operations is correlated to generate images ofregions of the tissue sample at selected depths within each region ofthe sample.
 32. A method of producing sequentially stained tissuesections from a tissue sample, comprising: staining a first surface of atissue sample with a stain; removing a section of the tissue sample toexpose a second surface of the tissue sample with a sectioning deviceconnected to a control system; and in response to the control system,iterating the staining, and removing steps to provide a plurality ofstained tissue sections.
 33. The method of claim 32, further comprisingimaging the tissue sample after staining and before sectioning andsaving the images in a memory or storage device.
 34. The method of claim32, further comprising agitating the stain while it is in contact withthe tissue sample.
 35. The method of claim 34, wherein agitating thestain includes translating a motorized stage.
 36. The method of claim34, wherein agitating the stain includes circulating the stainingsolution through a pump.
 37. The method of claim 34, wherein agitatingthe stain includes using a stirrer or a fan to move the stainingsolution.
 38. The method of claim 32, wherein the stain comprises adetergent or a protease.
 39. The method of claim 32, further comprisingchanging the temperature of the stain while the stain is in contact withthe tissue sample.
 40. The method of claim 39, wherein changing thetemperature of the stain includes placing the stain in thermal contactwith a heated water bath.
 41. The method of claim 32, further comprisingapplying electrophoresis to at least a portion of the tissue sample andthe stain.
 42. The method of claim 32, further comprising sonicating atleast a portion of the tissue sample and the stain.
 43. The method ofclaim 32, further comprising performing antigen retrieval to improvestaining of the tissue sample.
 44. The method of claim 32, furthercomprising staining the second surface of the tissue sample with adifferent stain than was used on the first surface of the tissue sample.45. The method of claim 32, wherein the stain includes one or more ofantibodies, nanobodies, dyes, aptamers, nucleic acid probes, fluorescentpeptide probes, nanoparticles, quantum dots, or photoacoustic probes.46. The method of claim 32, wherein the stain includes DAPI oranti-NeuN-alexafluor488.
 47. The method of claim 32, further comprisingconfiguring a diffusion device to increase a diffusion rate of the staininto the tissue sample.
 48. The method of claim 47, wherein the controlsystem is connected to the diffusion device.
 49. The method of claim 48,wherein the control system is programmed with a software module toselect one or more diffusion devices to control a diffusion rate of astain into a sample.
 50. The method of claim 32, further comprisingcontrolling a steric property of the tissue sample.
 51. The method ofclaim 32, wherein the control system has a memory that stores sampleprocessing parameters.
 52. The method of claim 51, wherein the sampleprocessing parameters control a selection of a stain to be delivered toa sample surface and an amount of the stain to be delivered.
 53. Themethod of claim 51 wherein the sample processing parameters includecontrol parameters of a diffusion device including selection of adiffusion rate adjustment mode and selected mode operating parametersincluding duration of mode operation.
 54. The method of claim 32 whereinthe control system has stored sectioning parameters and stored imagingparameters for a plurality of imaging modes.
 55. The method of claim 32further comprising controlling movement of a plurality of tissue samplesto be processed using a sample stage wherein the control system isprogrammed to independently control processing parameters for differenttissue samples.
 56. (canceled)
 57. The method of claim 55 wherein thesample stage is operative to move the plurality of samples between oneor more imaging stations, one or more sectioning stations, one or morestaining stations and one or more diffusion rate control stations. 58.The method of claim 32, further comprising moving at least one of thetissue sample and a tissue section with a robotic arm.
 59. The method ofclaim 51 wherein the processing parameters are calibrated so that thetiming sequence between iterative steps of staining, imaging, andremoving is correlated to generate images of regions of the tissuesample at selected depths within each region of the sample.